plotCs: Function for plotting rci and rci class

In zieglema/ClinicalSig: Contains several functions helpful for assessing clinical significance

Description

Function for plotting rci and rci class

Usage

plotCs(data, pre, post, sigLevel, rtt, consistency, mPath, sdPath, scaleName,
  min, max)

Arguments

data	Data set
pre	The variable containing the values from before the intervention
post	The variable containing the values from after the intervention
sigLevel	The accepted probability for a type I error.
rtt	Test-retest correlation for the used measure. Should be from the relevant population and with no intervention in between
consistency	Estimate for the internal consistency of the used measure.
mPath	Mean score in clinical norm group
sdPath	Standard deviation in clinical norm group
scaleName	Name of the used instrument
min	Theoretical score minimum in instrument used
max	Theoretical score maximum in instrument used

Value

A plot depicting the 7 classes and all CIs

Examples

plotCs(data=dat, pre="U1_GDS_G", post="U2_GDS_G", sigLevel=.05, consistency=.91, rtt=.83,
mPath=17.4, sdPath=6.8, scaleName="GDS Score", min=0, max=30)

zieglema/ClinicalSig documentation built on June 1, 2019, 6:03 p.m.